scholarly journals Dynamic Contrast Enhanced MRI in Glioma Diagnosis

2017 ◽  
pp. 88-96
Author(s):  
E. A. Nechipay ◽  
M. B. Dolgushin ◽  
A. I. Pronin ◽  
E. A. Kobyakova ◽  
L. M. Fadeeva
Keyword(s):  
Differential Diagnosis ◽  
Brain Tumors ◽  
Surgical Removal ◽  
Low Grade ◽  
Glial Tumors ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Informative Parameters ◽  
Contrast Enhanced ◽  
Grade Iii

The aim: to examine the possibility of using dynamic contrast  enhanced magnetic resonance imaging (DCE MRI) in clarifying the  diagnosis of glial brain tumors and the differentiation between them  on the basis of the malignancy degree. In this regard, the authors  evaluated the effectiveness of perfusion parameters (Ktrans, Kep, Ve and iAUC).Materials and methods.The study included examination of 54  patients with an established presence of brain glial tumors. Glioma  Grade I–II diagnosed in 13 (24.1%) and glioma Grade III–IV in 41  (75.9%) cases. Morphological verification of the diagnosis obtained  as a result of either surgical removal of the tumor or stereotactic biopsy was achieved in 31 (57.4%) patients: glial tumors Grade I–II  identified in 6 (19.4%), and glioma Grade III–IV – 25 (80.6%) cases. Results. According to DCE increasing of the malignancy degree of  glial tumors is followed by increasing of all perfusion parameters:  thus, the lowest values of Ktrans, Kep, Ve and iAUC were identified  in low grade gliomas (0.026 min−1, 0.845 min−1, 0.024 and 1.757,  respectively), the highest in gliomas Grade III–IV (0.052 min−1  1.083 min−1, 0.06 and 2.694, respectively). The most informative parameters with sensi tivity 90% and specificity 100% in the  differential diagnosis of gliomas Grade I-II and Grade III-IV are  Ktrans (cut-off = 0.16 min−1) and Ve (cut-off = 0.13).Conclusion.DCE MRI can be used in differential diagnosis of glial brain tumors of different malignancy grade.

scholarly journals Can Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Texture Analysis Differentiate Malignant Glioneuronal Tumors from Other Glioblastoma?

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Pierre-Antoine Eliat ◽  
Damien Olivié ◽  
Stephan Saïkali ◽  
Béatrice Carsin ◽  
Hervé Saint-Jalmes ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Who Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Glioneuronal Tumors ◽  
Who Grade Iii ◽  
Grade Iii

An interesting approach has been proposed to differentiate malignant glioneuronal tumors (MGNTs) as a subclass of the WHO grade III and IV malignant gliomas. MGNT histologically resemble any WHO grade III or IV glioma but have a different biological behavior, presenting a survival twice longer as WHO glioblastomas and a lower occurrence of metastases. However, neurofilament protein immunostaining was required for identification of MGNT. Using two complementary methods, dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and texture analysis (MRI-TA) from the same acquisition process, the challenge is toin vivoidentify MGNT and demonstrate that MRI postprocessing could contribute to a better typing and grading of glioblastoma. Results are obtained on a preliminary group of 19 patients a posteriori selected for a blind investigation of DCE T1-weighted and TA at 1.5 T. The optimal classification (0/11 misclassified MGNT) is obtained by combining the two methods, DCE-MRI and MRI-TA.

scholarly journals Effects of artery input function on dynamic contrast-enhanced MRI for determining grades of gliomas

2020 ◽  
pp. 20200699
Author(s):  
Lin Jia ◽  
Xia Wu ◽  
Qian Wan ◽  
Liwen Wan ◽  
Wenxiao Jia ◽  
...  
Keyword(s):  
Cerebral Artery ◽  
Input Function ◽  
P Value ◽  
Low Grade ◽  
High Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Quantitative Parameters ◽  
Contrast Enhanced ◽  
High Grade Gliomas

Objective: To evaluate the effect of artery input function (AIF) derived from different arteries for pharmacokinetic modeling on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters in the grading of gliomas. Methods: 49 patients with pathologically confirmed gliomas were recruited and underwent DCE-MRI. A modified Tofts model with different AIFs derived from anterior cerebral artery (ACA), ipsilateral and contralateral middle cerebral artery (MCA) and posterior cerebral artery (PCA) was used to estimate quantitative parameters such as Ktrans (volume transfer constant) and Ve (fractional extracellular-extravascular space volume) for distinguishing the low grade glioma from high grade glioma. The Ktrans and Ve were compared between different arteries using Two Related Samples Tests (TRST) (i.e. Wilcoxon Signed Ranks Test). In addition, these parameters were compared between the low and high grades as well as between the grade II and III using the Mann-Whitney U-test. A p-value of less than 0.05 was regarded as statistically significant. Results: All the patients completed the DCE-MRI successfully. Sharp wash-in and wash-out phases were observed in all AIFs derived from the different arteries. The quantitative parameters (Ktrans and Ve) calculated from PCA were significant higher than those from ACA and MCA for low and high grades, respectively (p < 0.05). Despite the differences of quantitative parameters derived from ACA, MCA and PCA, the Ktrans and Ve from any AIFs could distinguish between low and high grade, however, only Ktrans from any AIFs could distinguish grades II and III. There was no significant correlation between parameters and the distance from the artery, which the AIF was extracted, to the tumor. Conclusion: Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas, however, only Ktrans can distinguish grades II and III. Advances in knowledge: We sought to assess the effect of AIF on DCE-MRI for determining grades of gliomas. Both quantitative parameters Ktrans and Ve calculated using any AIF of ACA, MCA, and PCA can be used for distinguishing the low- from high-grade gliomas.

Differential diagnosis of central lymphoma and high-grade glioma: dynamic contrast-enhanced histogram

2020 ◽  
Vol 61 (9) ◽  
pp. 1221-1227
Author(s):  
Han-wen Zhang ◽  
Gui-wen Lyu ◽  
Wen-jie He ◽  
Yi Lei ◽  
Fan Lin ◽  
...  
Keyword(s):  
Differential Diagnosis ◽  
Histogram Analysis ◽  
High Grade ◽  
Diagnostic Efficiency ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference

Background In clinical diagnosis, some central nervous system lymphomas (CNSL) are difficult to distinguish from high-grade gliomas (HGG). Purpose To evaluate the diagnostic efficacy of the histogram analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in the identification of CNSL and HGG. Material and Methods In all, 43 patients diagnosed with HGG (n = 28) and CNSL (n = 15) by histopathology underwent DCE-MRI scanning. Differences in histogram parameters based on DCE-MRI between HGG and CNSL were analyzed by Mann–Whitney U test. In addition, receiver operating characteristic (ROC) analysis was performed. Short-term follow-up of patients was performed using Kaplan–Meier analysis to explore the survival rates of HGG and CNSL. Results For the ROC curve analysis, we demonstrate that the 10th percentile of Ktrans (area under the curve [AUC] = 0.912, sensitivity = 86.7%, specificity = 92.9%), Kep (AUC = 0.940, sensitivity = 93.3%, specificity = 79.6%), Ve (AUC = 0.907, sensitivity = 86.7%, specificity = 89.3%), and AUC (AUC = 0.904, sensitivity = 86.7%, specificity = 92.9%) were significantly different between the CNSL and HGG groups ( P < 0.001), with high diagnostic efficiency. Table 2 shows that the histogram features based on AUC maps (10th, 25th, median, 75th, 90th, and mean) were always significantly higher in the CNSL group than in the HGG group ( P < 0.001). There was no significant difference in Vp or in the 75th, 90th and mean of Ktrans, Kep, and Ve between the CNSL and HGG groups ( P > 0.05). Conclusion A histogram analysis of DCE-MRI identified significant differences between HGG and CNSL, and this will help in the clinical differential diagnosis of these conditions.

P09.05 Treatment strategy of MRI postcontrast non-enhanced gliomas

2021 ◽  
Vol 23 (Supplement_2) ◽  
pp. ii27-ii27
Author(s):  
O Kalita ◽  
L Hrabalek ◽  
V Jan ◽  
M Slachta ◽  
Y Klementová ◽  
...  
Keyword(s):  
Brain Tumor ◽  
Brain Tumors ◽  
Tumor Volume ◽  
Residual Tumor ◽  
Idh1 Mutation ◽  
Low Grade ◽  
Contrast Enhanced ◽  
Grade Ii ◽  
Grade Iii

Abstract BACKGROUND MRI postcontrast nonenhanced brain tumors are found benign biologic entities with the better prognosis. The aim of this paper is to evaluate predictive features on MRI considered definite diagnosis occurrence, tumor progression, upgrading and postcontrast enhancement evolution on follow-up serial MRI. MATERIAL AND METHODS We retrospectively collected patients with the initially MRI postcontrast nonenhanced brain tumors, treated in our hospital from January 2009 to June 1, 2006. All tumors were converted into WHO 2016 IDH status classifications in accordance with current recommendations. Information about surgeries, patient clinical condition, MRI, and results of histological, immunohistochemical, molecular genetic, and cytogenetic investigations were gathered. Semiautomatic segmentations were performed using FSLeyes software (part of FSL package) on preoperative and followed-up 3D T1-w MPRAGE, T2-w or FLAIR scans. We focused on residual tumor volume, and time distribution of T2/FLAIR changes and T1-w postcontrast enhancement evolution. RESULTS Seventy-eight patients were enrolled in this study. There were 47 gliomas grade II 22 grade III and 9 grade IV. Glioma II comprised 35 diffuse astrocytomas (23 patients had IDH1 mutation). Nine gliomas grade III and 6 gliomas grade IV had IDH1 mutation. Overall survival in glioma group grade II, grade III, grade IV was 187.9 months, 71.1 months and 25.2 months, respectively. Oncotherapy underwent 14 gliomas grade II after first surgery, 13 patients had radiotherapy a 1 patient had neoadjuvant chemotherapy. Seventeen gliomas grade III were indicated to oncotherapy, 5 patients had radiotherapy and 12 had chemoradiotherapy. All patients with glioma grade IV experienced oncotherapy. Time to progression of non-contrast enhanced brain tumor was 5.8 years. Time to up-grading of non-contrast enhanced brain tumor was 16.8 months. Detailed time relations of glioma subgroup will be displayed in tables. CONCLUSION Regarding MRI postcontrast non-enhanced tumors, predominantly low grade gliomas (LGG), aggressive oncotherapy are reluctant to use but they are prone to repeat surgeries. Decision making issues are age, clinical patient status, histologic and genetic tumor characteristics, residual tumor volume, published guidelines for brain tumor treatment, and patient′s willing. Generally, hyposignal on the T1 postcontrast scans strictly relate to the better prognosis, even in HGG. Longer survival expectancy increases quality of life awareness. Prior to MRI postcontrast enhanced evolution and up-grading, T2/FLAIR changes have been demonstrated. T2/FLAIR scans considered also main role in LGG follow-up strategy. Individual tailored therapy is principal strategy. Supported by Ministry of Health of the Czech Republic, grant nr. NV19-04-00281 and grant nr. NU21-03-00195

scholarly journals Characterization of Pure Ductal Carcinoma In Situ on Dynamic Contrast-Enhanced MR Imaging: Do Nonhigh Grade and High Grade Show Different Imaging Features?

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Siwa Chan ◽  
Jeon-Hor Chen ◽  
Garima Agrawal ◽  
Muqing Lin ◽  
Rita S. Mehta ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Kinetic Curve ◽  
Imaging Features ◽  
High Grade ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Mass Lesions ◽  
Grade Iii

To characterize imaging features of pure DCIS on dynamic contrast-enhanced MR imaging (DCE-MRI), 31 consecutive patients (37-81 years old, mean 56), including 2 Grade I, 16 Grade II, and 13 Grade III, were studied. MR images were reviewed retrospectively and the morphological appearances and kinetic features of breast lesions were categorized according to the ACR BI-RADS breast MRI lexicon. DCE-MRI was a sensitive imaging modality in detecting pure DCIS. MR imaging showed enhancing lesions in 29/31 (94%) cases. Pure DCIS appeared as mass type or non-mass lesions on MRI with nearly equal frequency. The 29 MR detected lesions include 15 mass lesions (52%), and 14 lesions showing non-mass-like lesions (48%). For the mass lesions, the most frequent presentations were irregular shape (50%), irregular margin (50%) and heterogeneous enhancement (67%). For the non-mass-like lesions, the clumped internal enhancement pattern was the dominate feature, seen in 9/14 cases (64%). Regarding enhancement kinetic curve, 21/29 (78%) lesions showed suspicious malignant type kinetics. No significant difference was found in morphology (), tumor size (P= 0.21), and kinetic characteristics () between non-high grade (I+II) and high-grade (III) pure DCIS.

Dynamic Contrast - Enhanced Magnetic Resonance Imaging (DCE MRI) In The Differential Diagnosis Of Adnexal Tumors

2019 ◽  
pp. 43-57
Author(s):  
Bekhruz P. Olimov ◽  
Mikhail M. Beregov ◽  
Filipp A. Kossov ◽  
Mariia G. Lapteva ◽  
Olga N. Streltsova ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Differential Diagnosis ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced ◽  
Adnexal Tumors

scholarly journals Perfusion in hand arthritis on dynamic contrast-enhanced computed tomography: a randomized prospective study using MRI as a standard of reference

2020 ◽  
Vol 50 (1) ◽  
pp. 59-68
Author(s):  
Sevtap Tugce Ulas ◽  
Kay Geert Hermann ◽  
Marcus R. Makowski ◽  
Robert Biesen ◽  
Fabian Proft ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Mean Transit Time ◽  
Region Of Interest ◽  
T Test ◽  
Dose Length Product ◽  
Suitable Alternative ◽  
Dce Mri ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced

Abstract Objective To evaluate the performance of dynamic contrast-enhanced CT (DCE-CT) in detecting and quantitatively assessing perfusion parameters in patients with arthritis of the hand compared with dynamic contrast-enhanced MRI (DCE-MRI) as a standard of reference. Materials and methods In this IRB-approved randomized prospective single-centre study, 36 consecutive patients with suspected rheumatoid arthritis underwent DCE-CT (320-row, tube voltage 80 kVp, tube current 8.25 mAs) and DCE-MRI (1.5 T) of the hand. Perfusion maps were calculated separately for mean transit time (MTT), time to peak (TTP), relative blood volume (rBV), and relative blood flow (rBF) using four different decomposition techniques. Region of interest (ROI) analysis was performed in metacarpophalangeal joints II–V and in the wrist. Pairs of perfusion parameters in DCE-CT and DCE-MRI were compared using a two-tailed t test for paired samples and interpreted for effect size (Cohen’s d). According to the Rheumatoid Arthritis Magnetic Resonance Imaging Score (RAMRIS) scoring results, differentiation of synovitis-positive and synovitis-negative joints with both modalities was assessed with the independent t test. Results The two modalities yielded similar perfusion parameters. Identified differences had small effects (d 0.01–0.4). DCE-CT additionally differentiates inflamed and noninflamed joints based on rBF and rBV but tends to underestimate these parameters in severe inflammation. The total dose-length product (DLP) was 48 mGy*cm with an estimated effective dose of 0.038 mSv. Conclusion DCE-CT is a promising imaging technique in arthritis. In patients with a contraindication to MRI or when MRI is not available, DCE-CT is a suitable alternative to detect and assess arthritis.

Sign in / Sign up

Export Citation Format

Share Document